1991Communication in Statistics- Theory and MethodsRequires access

On the law of the iterated logarithm for arrays of random variables

Tien-Chung Hu

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Abstract

For sequences of independent, identically distributed random variables, it is well known that the existence of second moment implies the law of the iterated logarithm. Can it be extended from sequences to arrays even under the stronger assumption of the existence of higher moments? In this note, we provide a counter example which tells us that the law of the iterated logarithm for arrays is false even for bounded random variables

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What this paper is about

For sequences of independent, identically distributed random variables, it is well known that the existence of second moment implies the law of the iterated logarithm. Can it be extended from sequences to arrays even under the stronger assumption of the existence of higher moments? In this note, we provide a counter example which tells us that the law of the iterated logarithm for arrays is false even for bounded random variables

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Available abstract

For sequences of independent, identically distributed random variables, it is well known that the existence of second moment implies the law of the iterated logarithm. Can it be extended from sequences to arrays even under the stronger assumption of the existence of higher moments? In this note, we provide a counter example which tells us that the law of the iterated logarithm for arrays is false even for bounded random variables

Key concepts: Law of the iterated logarithm, Iterated logarithm, Independent and identically distributed random variables, Logarithm, Mathematics, Random variable, Iterated function, Moment (physics)

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